Overview

Dataset statistics

Number of variables24
Number of observations1168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory260.4 KiB
Average record size in memory228.3 B

Variable types

Numeric24

Alerts

OverallQual is highly overall correlated with GarageArea and 15 other fieldsHigh correlation
OverallQual_log_e is highly overall correlated with GarageArea and 15 other fieldsHigh correlation
OverallQual_power is highly overall correlated with GarageArea and 15 other fieldsHigh correlation
GrLivArea is highly overall correlated with 1stFlrSF and 15 other fieldsHigh correlation
GrLivArea_log_e is highly overall correlated with 1stFlrSF and 15 other fieldsHigh correlation
GrLivArea_box_cox is highly overall correlated with 1stFlrSF and 15 other fieldsHigh correlation
GrLivArea_yeo_johnson is highly overall correlated with 1stFlrSF and 15 other fieldsHigh correlation
1stFlrSF is highly overall correlated with 1stFlrSF_box_cox and 14 other fieldsHigh correlation
1stFlrSF_log_e is highly overall correlated with 1stFlrSF and 14 other fieldsHigh correlation
1stFlrSF_power is highly overall correlated with 1stFlrSF and 14 other fieldsHigh correlation
1stFlrSF_box_cox is highly overall correlated with 1stFlrSF and 14 other fieldsHigh correlation
1stFlrSF_yeo_johnson is highly overall correlated with 1stFlrSF and 14 other fieldsHigh correlation
TotalBsmtSF_power is highly overall correlated with 1stFlrSF and 10 other fieldsHigh correlation
TotalBsmtSF_yeo_johnson is highly overall correlated with 1stFlrSF and 10 other fieldsHigh correlation
GarageArea is highly overall correlated with GarageArea_power and 11 other fieldsHigh correlation
GarageArea_power is highly overall correlated with GarageArea and 11 other fieldsHigh correlation
YearBuilt_log_e is highly overall correlated with GarageArea and 11 other fieldsHigh correlation
YearBuilt_power is highly overall correlated with GarageArea and 11 other fieldsHigh correlation
YearBuilt_box_cox is highly overall correlated with GarageArea and 11 other fieldsHigh correlation
SalePrice is highly overall correlated with 1stFlrSF and 22 other fieldsHigh correlation
SalePrice_log_e is highly overall correlated with 1stFlrSF and 22 other fieldsHigh correlation
SalePrice_log_10 is highly overall correlated with 1stFlrSF and 22 other fieldsHigh correlation
SalePrice_box_cox is highly overall correlated with 1stFlrSF and 22 other fieldsHigh correlation
SalePrice_yeo_johnson is highly overall correlated with 1stFlrSF and 22 other fieldsHigh correlation
TotalBsmtSF_power has 30 (2.6%) zerosZeros
TotalBsmtSF_yeo_johnson has 30 (2.6%) zerosZeros
GarageArea has 69 (5.9%) zerosZeros
GarageArea_power has 69 (5.9%) zerosZeros

Reproduction

Analysis started2024-05-04 15:11:55.375756
Analysis finished2024-05-04 15:14:15.912702
Duration2 minutes and 20.54 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

OverallQual
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0916096
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:16.226381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3677638
Coefficient of variation (CV)0.22453242
Kurtosis0.086089747
Mean6.0916096
Median Absolute Deviation (MAD)1
Skewness0.18654785
Sum7115
Variance1.8707779
MonotonicityNot monotonic
2024-05-04T16:14:16.580416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 319
27.3%
6 296
25.3%
7 261
22.3%
8 134
11.5%
4 95
 
8.1%
9 33
 
2.8%
3 14
 
1.2%
10 12
 
1.0%
2 2
 
0.2%
1 2
 
0.2%
ValueCountFrequency (%)
1 2
 
0.2%
2 2
 
0.2%
3 14
 
1.2%
4 95
 
8.1%
5 319
27.3%
6 296
25.3%
7 261
22.3%
8 134
11.5%
9 33
 
2.8%
10 12
 
1.0%
ValueCountFrequency (%)
10 12
 
1.0%
9 33
 
2.8%
8 134
11.5%
7 261
22.3%
6 296
25.3%
5 319
27.3%
4 95
 
8.1%
3 14
 
1.2%
2 2
 
0.2%
1 2
 
0.2%

OverallQual_log_e
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7798831
Minimum0
Maximum2.3025851
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:16.770663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3862944
Q11.6094379
median1.7917595
Q31.9459101
95-th percentile2.0794415
Maximum2.3025851
Range2.3025851
Interquartile range (IQR)0.33647224

Descriptive statistics

Standard deviation0.24044189
Coefficient of variation (CV)0.13508858
Kurtosis5.1359363
Mean1.7798831
Median Absolute Deviation (MAD)0.18232156
Skewness-1.0332953
Sum2078.9035
Variance0.057812302
MonotonicityNot monotonic
2024-05-04T16:14:16.965527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.609437912 319
27.3%
1.791759469 296
25.3%
1.945910149 261
22.3%
2.079441542 134
11.5%
1.386294361 95
 
8.1%
2.197224577 33
 
2.8%
1.098612289 14
 
1.2%
2.302585093 12
 
1.0%
0.6931471806 2
 
0.2%
0 2
 
0.2%
ValueCountFrequency (%)
0 2
 
0.2%
0.6931471806 2
 
0.2%
1.098612289 14
 
1.2%
1.386294361 95
 
8.1%
1.609437912 319
27.3%
1.791759469 296
25.3%
1.945910149 261
22.3%
2.079441542 134
11.5%
2.197224577 33
 
2.8%
2.302585093 12
 
1.0%
ValueCountFrequency (%)
2.302585093 12
 
1.0%
2.197224577 33
 
2.8%
2.079441542 134
11.5%
1.945910149 261
22.3%
1.791759469 296
25.3%
1.609437912 319
27.3%
1.386294361 95
 
8.1%
1.098612289 14
 
1.2%
0.6931471806 2
 
0.2%
0 2
 
0.2%

OverallQual_power
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4519944
Minimum1
Maximum3.1622777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:17.243357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.236068
median2.4494897
Q32.6457513
95-th percentile2.8284271
Maximum3.1622777
Range2.1622777
Interquartile range (IQR)0.40968333

Descriptive statistics

Standard deviation0.28178199
Coefficient of variation (CV)0.11491951
Kurtosis0.91570424
Mean2.4519944
Median Absolute Deviation (MAD)0.21342177
Skewness-0.26045453
Sum2863.9294
Variance0.079401087
MonotonicityNot monotonic
2024-05-04T16:14:17.467171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.236067977 319
27.3%
2.449489743 296
25.3%
2.645751311 261
22.3%
2.828427125 134
11.5%
2 95
 
8.1%
3 33
 
2.8%
1.732050808 14
 
1.2%
3.16227766 12
 
1.0%
1.414213562 2
 
0.2%
1 2
 
0.2%
ValueCountFrequency (%)
1 2
 
0.2%
1.414213562 2
 
0.2%
1.732050808 14
 
1.2%
2 95
 
8.1%
2.236067977 319
27.3%
2.449489743 296
25.3%
2.645751311 261
22.3%
2.828427125 134
11.5%
3 33
 
2.8%
3.16227766 12
 
1.0%
ValueCountFrequency (%)
3.16227766 12
 
1.0%
3 33
 
2.8%
2.828427125 134
11.5%
2.645751311 261
22.3%
2.449489743 296
25.3%
2.236067977 319
27.3%
2 95
 
8.1%
1.732050808 14
 
1.2%
1.414213562 2
 
0.2%
1 2
 
0.2%

GrLivArea
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1503.405
Minimum334
Maximum4476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:17.707471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum334
5-th percentile848
Q11128
median1456
Q31774.25
95-th percentile2436.85
Maximum4476
Range4142
Interquartile range (IQR)646.25

Descriptive statistics

Standard deviation503.86503
Coefficient of variation (CV)0.33514924
Kurtosis2.3687454
Mean1503.405
Median Absolute Deviation (MAD)322.5
Skewness1.0582715
Sum1755977
Variance253879.96
MonotonicityNot monotonic
2024-05-04T16:14:17.969089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
864 15
 
1.3%
1040 12
 
1.0%
848 10
 
0.9%
912 9
 
0.8%
894 8
 
0.7%
1092 8
 
0.7%
1456 8
 
0.7%
1728 7
 
0.6%
987 7
 
0.6%
816 7
 
0.6%
Other values (724) 1077
92.2%
ValueCountFrequency (%)
334 1
 
0.1%
438 1
 
0.1%
520 1
 
0.1%
605 1
 
0.1%
630 4
0.3%
672 1
 
0.1%
691 1
 
0.1%
693 1
 
0.1%
694 1
 
0.1%
708 1
 
0.1%
ValueCountFrequency (%)
4476 1
0.1%
4316 1
0.1%
3627 1
0.1%
3447 1
0.1%
3279 1
0.1%
3238 1
0.1%
3228 1
0.1%
3222 1
0.1%
3194 1
0.1%
3140 1
0.1%

GrLivArea_log_e
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2620078
Minimum5.811141
Maximum8.4064851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:18.229441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.811141
5-th percentile6.7428806
Q17.0282014
median7.2834482
Q37.481133
95-th percentile7.7984454
Maximum8.4064851
Range2.5953441
Interquartile range (IQR)0.45293162

Descriptive statistics

Standard deviation0.32799846
Coefficient of variation (CV)0.04516636
Kurtosis0.14705013
Mean7.2620078
Median Absolute Deviation (MAD)0.22165032
Skewness-0.055483215
Sum8482.0251
Variance0.10758299
MonotonicityNot monotonic
2024-05-04T16:14:18.521852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.761572769 15
 
1.3%
6.946975992 12
 
1.0%
6.742880636 10
 
0.9%
6.81563999 9
 
0.8%
6.795705775 8
 
0.7%
6.995766156 8
 
0.7%
7.283448229 8
 
0.7%
7.454719949 7
 
0.6%
6.894670039 7
 
0.6%
6.704414355 7
 
0.6%
Other values (724) 1077
92.2%
ValueCountFrequency (%)
5.811140993 1
 
0.1%
6.08221891 1
 
0.1%
6.253828812 1
 
0.1%
6.405228458 1
 
0.1%
6.445719819 4
0.3%
6.510258341 1
 
0.1%
6.538139824 1
 
0.1%
6.541029999 1
 
0.1%
6.542471961 1
 
0.1%
6.562444094 1
 
0.1%
ValueCountFrequency (%)
8.406485069 1
0.1%
8.370084326 1
0.1%
8.196161139 1
0.1%
8.145259567 1
0.1%
8.095293777 1
0.1%
8.082711134 1
0.1%
8.079618029 1
0.1%
8.077757564 1
0.1%
8.069029329 1
0.1%
8.051978079 1
0.1%

GrLivArea_box_cox
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8815159
Minimum6.8174402
Maximum10.618929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:18.786601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.8174402
5-th percentile8.1217901
Q18.5344113
median8.9089239
Q39.2025182
95-th percentile9.6803303
Maximum10.618929
Range3.8014887
Interquartile range (IQR)0.66810695

Descriptive statistics

Standard deviation0.48388226
Coefficient of variation (CV)0.054481945
Kurtosis0.12902342
Mean8.8815159
Median Absolute Deviation (MAD)0.3256163
Skewness0.0007368103
Sum10373.611
Variance0.23414204
MonotonicityNot monotonic
2024-05-04T16:14:19.069970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.148629402 15
 
1.3%
8.416302893 12
 
1.0%
8.121790131 10
 
0.9%
8.226413806 9
 
0.8%
8.197709002 8
 
0.7%
8.487186094 8
 
0.7%
8.908923926 8
 
0.7%
9.163110232 7
 
0.6%
8.34051741 7
 
0.6%
8.066642467 7
 
0.6%
Other values (724) 1077
92.2%
ValueCountFrequency (%)
6.817440239 1
 
0.1%
7.190231917 1
 
0.1%
7.429047348 1
 
0.1%
7.641568658 1
 
0.1%
7.698699598 4
0.3%
7.790016267 1
 
0.1%
7.829564034 1
 
0.1%
7.833666909 1
 
0.1%
7.835714145 1
 
0.1%
7.864086022 1
 
0.1%
ValueCountFrequency (%)
10.61892895 1
0.1%
10.56187441 1
0.1%
10.29079782 1
0.1%
10.2119393 1
0.1%
10.1347394 1
0.1%
10.11533108 1
0.1%
10.11056206 1
0.1%
10.10769394 1
0.1%
10.09424217 1
0.1%
10.06798129 1
0.1%

GrLivArea_yeo_johnson
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8570541
Minimum6.8060411
Maximum10.583696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:19.348731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.8060411
5-th percentile8.1019346
Q18.5120509
median8.884301
Q39.1761165
95-th percentile9.6510057
Maximum10.583696
Range3.7776553
Interquartile range (IQR)0.66406558

Descriptive statistics

Standard deviation0.48093898
Coefficient of variation (CV)0.054300107
Kurtosis0.12845971
Mean8.8570541
Median Absolute Deviation (MAD)0.32364606
Skewness0.00072252983
Sum10345.039
Variance0.2313023
MonotonicityNot monotonic
2024-05-04T16:14:19.715310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.128610028 15
 
1.3%
8.394657078 12
 
1.0%
8.101934638 10
 
0.9%
8.205920431 9
 
0.8%
8.177390392 8
 
0.7%
8.465111309 8
 
0.7%
8.884301046 8
 
0.7%
9.136947844 7
 
0.6%
8.319330872 7
 
0.6%
8.047124302 7
 
0.6%
Other values (724) 1077
92.2%
ValueCountFrequency (%)
6.806041113 1
 
0.1%
7.17626931 1
 
0.1%
7.413520996 1
 
0.1%
7.624687921 1
 
0.1%
7.681459556 4
0.3%
7.772205477 1
 
0.1%
7.811507301 1
 
0.1%
7.8155847 1
 
0.1%
7.817619228 1
 
0.1%
7.845815161 1
 
0.1%
ValueCountFrequency (%)
10.58369636 1
0.1%
10.52700866 1
0.1%
10.25766047 1
0.1%
10.17930041 1
0.1%
10.10258668 1
0.1%
10.0833003 1
0.1%
10.07856124 1
0.1%
10.07571112 1
0.1%
10.06234378 1
0.1%
10.03624757 1
0.1%

1stFlrSF
Real number (ℝ)

HIGH CORRELATION 

Distinct666
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1162.292
Minimum334
Maximum3228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:20.022545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum334
5-th percentile686.7
Q1885.75
median1089
Q31390.25
95-th percentile1829.25
Maximum3228
Range2894
Interquartile range (IQR)504.5

Descriptive statistics

Standard deviation370.68223
Coefficient of variation (CV)0.31892351
Kurtosis1.286894
Mean1162.292
Median Absolute Deviation (MAD)234
Skewness0.92085553
Sum1357557
Variance137405.32
MonotonicityNot monotonic
2024-05-04T16:14:20.285446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
864 18
 
1.5%
1040 15
 
1.3%
848 12
 
1.0%
672 11
 
0.9%
912 10
 
0.9%
720 9
 
0.8%
728 8
 
0.7%
816 8
 
0.7%
894 8
 
0.7%
988 6
 
0.5%
Other values (656) 1063
91.0%
ValueCountFrequency (%)
334 1
 
0.1%
438 1
 
0.1%
483 1
 
0.1%
504 6
0.5%
520 2
 
0.2%
525 1
 
0.1%
526 1
 
0.1%
546 3
0.3%
551 1
 
0.1%
572 2
 
0.2%
ValueCountFrequency (%)
3228 1
0.1%
2898 1
0.1%
2633 1
0.1%
2515 1
0.1%
2444 1
0.1%
2411 1
0.1%
2402 1
0.1%
2392 1
0.1%
2259 1
0.1%
2217 1
0.1%

1stFlrSF_log_e
Real number (ℝ)

HIGH CORRELATION 

Distinct666
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0097037
Minimum5.811141
Maximum8.079618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:20.571000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.811141
5-th percentile6.5318966
Q16.7864346
median6.9930147
Q37.2372388
95-th percentile7.5116605
Maximum8.079618
Range2.268477
Interquartile range (IQR)0.45080419

Descriptive statistics

Standard deviation0.31096036
Coefficient of variation (CV)0.044361413
Kurtosis-0.12919536
Mean7.0097037
Median Absolute Deviation (MAD)0.22259279
Skewness0.040869783
Sum8187.3339
Variance0.096696347
MonotonicityNot monotonic
2024-05-04T16:14:20.843743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.761572769 18
 
1.5%
6.946975992 15
 
1.3%
6.742880636 12
 
1.0%
6.510258341 11
 
0.9%
6.81563999 10
 
0.9%
6.579251212 9
 
0.8%
6.590301048 8
 
0.7%
6.704414355 8
 
0.7%
6.795705775 8
 
0.7%
6.895682698 6
 
0.5%
Other values (656) 1063
91.0%
ValueCountFrequency (%)
5.811140993 1
 
0.1%
6.08221891 1
 
0.1%
6.180016654 1
 
0.1%
6.222576268 6
0.5%
6.253828812 2
 
0.2%
6.263398263 1
 
0.1%
6.265301213 1
 
0.1%
6.302618976 3
0.3%
6.311734809 1
 
0.1%
6.349138991 2
 
0.2%
ValueCountFrequency (%)
8.079618029 1
0.1%
7.971776123 1
0.1%
7.875879159 1
0.1%
7.830028083 1
0.1%
7.80139132 1
0.1%
7.787796878 1
0.1%
7.784057003 1
0.1%
7.779885115 1
0.1%
7.722677516 1
0.1%
7.70391021 1
0.1%

1stFlrSF_power
Real number (ℝ)

HIGH CORRELATION 

Distinct666
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.681555
Minimum18.275667
Maximum56.815491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:21.099708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18.275667
5-th percentile26.204955
Q129.761551
median32.999997
Q337.286056
95-th percentile42.769723
Maximum56.815491
Range38.539824
Interquartile range (IQR)7.5245044

Descriptive statistics

Standard deviation5.2790795
Coefficient of variation (CV)0.15673503
Kurtosis0.13706333
Mean33.681555
Median Absolute Deviation (MAD)3.6061196
Skewness0.46945801
Sum39340.056
Variance27.86868
MonotonicityNot monotonic
2024-05-04T16:14:21.379991image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.39387691 18
 
1.5%
32.24903099 15
 
1.3%
29.12043956 12
 
1.0%
25.92296279 11
 
0.9%
30.19933774 10
 
0.9%
26.83281573 9
 
0.8%
26.98147513 8
 
0.7%
28.56571371 8
 
0.7%
29.89983278 8
 
0.7%
31.43246729 6
 
0.5%
Other values (656) 1063
91.0%
ValueCountFrequency (%)
18.27566688 1
 
0.1%
20.92844954 1
 
0.1%
21.97726098 1
 
0.1%
22.44994432 6
0.5%
22.8035085 2
 
0.2%
22.91287847 1
 
0.1%
22.93468988 1
 
0.1%
23.36664289 3
0.3%
23.47338919 1
 
0.1%
23.91652149 2
 
0.2%
ValueCountFrequency (%)
56.81549085 1
0.1%
53.83307533 1
0.1%
51.31276644 1
0.1%
50.14977567 1
0.1%
49.43682838 1
0.1%
49.10193479 1
0.1%
49.01020302 1
0.1%
48.90807704 1
0.1%
47.52893855 1
0.1%
47.08502947 1
0.1%

1stFlrSF_box_cox
Real number (ℝ)

HIGH CORRELATION 

Distinct666
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9880286
Minimum5.0976885
Maximum6.7452625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:21.661732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.0976885
5-th percentile5.6399612
Q15.8272016
median5.9775564
Q36.1534719
95-th percentile6.3487894
Maximum6.7452625
Range1.647574
Interquartile range (IQR)0.32627024

Descriptive statistics

Standard deviation0.2250432
Coefficient of variation (CV)0.037582184
Kurtosis-0.11399026
Mean5.9880286
Median Absolute Deviation (MAD)0.16120429
Skewness0.00059062006
Sum6994.0174
Variance0.05064444
MonotonicityNot monotonic
2024-05-04T16:14:21.943267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.809009731 18
 
1.5%
5.944172048 15
 
1.3%
5.795318595 12
 
1.0%
5.623942424 11
 
0.9%
5.848545141 10
 
0.9%
5.674962351 9
 
0.8%
5.683118587 8
 
0.7%
5.767106639 8
 
0.7%
5.833980176 8
 
0.7%
5.906893852 6
 
0.5%
Other values (656) 1063
91.0%
ValueCountFrequency (%)
5.097688482 1
 
0.1%
5.303755925 1
 
0.1%
5.377469603 1
 
0.1%
5.409444654 6
0.5%
5.432884774 2
 
0.2%
5.440055327 1
 
0.1%
5.441480863 1
 
0.1%
5.469411043 3
0.3%
5.476226415 1
 
0.1%
5.504161342 2
 
0.2%
ValueCountFrequency (%)
6.745262472 1
0.1%
6.670777914 1
0.1%
6.604231682 1
0.1%
6.572309895 1
0.1%
6.552338547 1
0.1%
6.542848515 1
0.1%
6.540236733 1
0.1%
6.537322719 1
0.1%
6.497307288 1
0.1%
6.484156967 1
0.1%

1stFlrSF_yeo_johnson
Real number (ℝ)

HIGH CORRELATION 

Distinct666
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9686545
Minimum5.0856839
Maximum6.7197022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:22.214218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.0856839
5-th percentile5.6233815
Q15.8091157
median5.9582676
Q36.1327734
95-th percentile6.3265127
Maximum6.7197022
Range1.6340183
Interquartile range (IQR)0.32365775

Descriptive statistics

Standard deviation0.22323291
Coefficient of variation (CV)0.037400877
Kurtosis-0.11443746
Mean5.9686545
Median Absolute Deviation (MAD)0.15991285
Skewness0.00060557042
Sum6971.3884
Variance0.049832933
MonotonicityNot monotonic
2024-05-04T16:14:22.501705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.791069516 18
 
1.5%
5.925150207 15
 
1.3%
5.777488129 12
 
1.0%
5.607492486 11
 
0.9%
5.83028827 10
 
0.9%
5.658099775 9
 
0.8%
5.666190198 8
 
0.7%
5.749502508 8
 
0.7%
5.815839921 8
 
0.7%
5.888170133 6
 
0.5%
Other values (656) 1063
91.0%
ValueCountFrequency (%)
5.08568392 1
 
0.1%
5.289955234 1
 
0.1%
5.363046976 1
 
0.1%
5.394754904 6
0.5%
5.418000121 2
 
0.2%
5.425111199 1
 
0.1%
5.426524919 1
 
0.1%
5.45422411 3
0.3%
5.460983261 1
 
0.1%
5.488688312 2
 
0.2%
ValueCountFrequency (%)
6.719702194 1
0.1%
6.645844791 1
0.1%
6.579854498 1
0.1%
6.548198001 1
0.1%
6.528392189 1
0.1%
6.518980699 1
0.1%
6.51639052 1
0.1%
6.513500602 1
0.1%
6.473815375 1
0.1%
6.460773295 1
0.1%

TotalBsmtSF_power
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct624
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.469874
Minimum0
Maximum56.621551
Zeros30
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:22.787597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.977261
Q128.160256
median31.296964
Q335.937444
95-th percentile41.868843
Maximum56.621551
Range56.621551
Interquartile range (IQR)7.777188

Descriptive statistics

Standard deviation7.6682927
Coefficient of variation (CV)0.24367091
Kurtosis5.5719442
Mean31.469874
Median Absolute Deviation (MAD)3.695892
Skewness-1.4473361
Sum36756.812
Variance58.802713
MonotonicityNot monotonic
2024-05-04T16:14:23.047127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.6%
29.39387691 24
 
2.1%
25.92296279 15
 
1.3%
28.56571371 12
 
1.0%
30.19933774 12
 
1.0%
32.24903099 12
 
1.0%
26.98147513 11
 
0.9%
29.12043956 11
 
0.9%
29.89983278 9
 
0.8%
30.85449724 9
 
0.8%
Other values (614) 1023
87.6%
ValueCountFrequency (%)
0 30
2.6%
10.24695077 1
 
0.1%
13.78404875 1
 
0.1%
16.24807681 3
 
0.3%
16.43167673 1
 
0.1%
17.02938637 1
 
0.1%
17.8605711 1
 
0.1%
18.97366596 1
 
0.1%
19.28730152 1
 
0.1%
19.59591794 6
 
0.5%
ValueCountFrequency (%)
56.62155067 1
0.1%
56.56854249 1
0.1%
55.62373594 1
0.1%
51.31276644 1
0.1%
49.43682838 1
0.1%
48.948953 1
0.1%
48.90807704 1
0.1%
47.08502947 1
0.1%
46.4542786 1
0.1%
46.40043103 1
0.1%

TotalBsmtSF_yeo_johnson
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct624
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.31532
Minimum0
Maximum752.46052
Zeros30
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:23.313268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile167.40278
Q1248.32429
median293.69724
Q3365.81113
95-th percentile466.18383
Maximum752.46052
Range752.46052
Interquartile range (IQR)117.48684

Descriptive statistics

Standard deviation101.28349
Coefficient of variation (CV)0.33173406
Kurtosis1.7998654
Mean305.31532
Median Absolute Deviation (MAD)54.877846
Skewness-0.028003628
Sum356608.29
Variance10258.346
MonotonicityNot monotonic
2024-05-04T16:14:23.592915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.6%
265.8347133 24
 
2.1%
217.7017563 15
 
1.3%
254.0310894 12
 
1.0%
277.5026086 12
 
1.0%
308.0157825 12
 
1.0%
232.0054595 11
 
0.9%
261.9157072 11
 
0.9%
273.1424865 9
 
0.8%
287.128395 9
 
0.8%
Other values (614) 1023
87.6%
ValueCountFrequency (%)
0 30
2.6%
49.42092063 1
 
0.1%
79.52177329 1
 
0.1%
103.4303284 3
 
0.3%
105.3025977 1
 
0.1%
111.4825165 1
 
0.1%
120.2890782 1
 
0.1%
132.462286 1
 
0.1%
135.9694911 1
 
0.1%
139.4532672 6
 
0.5%
ValueCountFrequency (%)
752.4605181 1
0.1%
751.3438896 1
0.1%
731.5439636 1
0.1%
643.7005659 1
0.1%
606.7797454 1
0.1%
597.3097383 1
0.1%
596.5187973 1
0.1%
561.6374089 1
0.1%
549.7497516 1
0.1%
548.7392349 1
0.1%

GarageArea
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct393
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466.27825
Minimum0
Maximum1390
Zeros69
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:23.889486image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1314.25
median474.5
Q3576
95-th percentile839.65
Maximum1390
Range1390
Interquartile range (IQR)261.75

Descriptive statistics

Standard deviation211.48938
Coefficient of variation (CV)0.45356905
Kurtosis0.8197573
Mean466.27825
Median Absolute Deviation (MAD)121
Skewness0.11419629
Sum544613
Variance44727.759
MonotonicityNot monotonic
2024-05-04T16:14:24.158595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
5.9%
576 38
 
3.3%
440 35
 
3.0%
240 29
 
2.5%
528 27
 
2.3%
484 27
 
2.3%
264 24
 
2.1%
288 23
 
2.0%
400 21
 
1.8%
480 18
 
1.5%
Other values (383) 857
73.4%
ValueCountFrequency (%)
0 69
5.9%
160 1
 
0.1%
164 1
 
0.1%
180 8
 
0.7%
186 1
 
0.1%
189 1
 
0.1%
192 1
 
0.1%
200 3
 
0.3%
205 2
 
0.2%
208 1
 
0.1%
ValueCountFrequency (%)
1390 1
0.1%
1356 1
0.1%
1248 1
0.1%
1220 1
0.1%
1053 1
0.1%
1052 1
0.1%
1025 1
0.1%
1020 1
0.1%
1014 1
0.1%
995 1
0.1%

GarageArea_power
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct393
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.599433
Minimum0
Maximum37.282704
Zeros69
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:24.435346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.72706
median21.783018
Q324
95-th percentile28.976714
Maximum37.282704
Range37.282704
Interquartile range (IQR)6.2729401

Descriptive statistics

Standard deviation6.4790076
Coefficient of variation (CV)0.31452359
Kurtosis3.6149269
Mean20.599433
Median Absolute Deviation (MAD)2.8093519
Skewness-1.6258179
Sum24060.138
Variance41.97754
MonotonicityNot monotonic
2024-05-04T16:14:24.723076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
5.9%
24 38
 
3.3%
20.97617696 35
 
3.0%
15.49193338 29
 
2.5%
22.97825059 27
 
2.3%
22 27
 
2.3%
16.24807681 24
 
2.1%
16.97056275 23
 
2.0%
20 21
 
1.8%
21.9089023 18
 
1.5%
Other values (383) 857
73.4%
ValueCountFrequency (%)
0 69
5.9%
12.64911064 1
 
0.1%
12.80624847 1
 
0.1%
13.41640786 8
 
0.7%
13.6381817 1
 
0.1%
13.74772708 1
 
0.1%
13.85640646 1
 
0.1%
14.14213562 3
 
0.3%
14.31782106 2
 
0.2%
14.4222051 1
 
0.1%
ValueCountFrequency (%)
37.28270376 1
0.1%
36.82390528 1
0.1%
35.32704347 1
0.1%
34.92849839 1
0.1%
32.44996148 1
0.1%
32.43454948 1
0.1%
32.01562119 1
0.1%
31.93743885 1
0.1%
31.84336666 1
0.1%
31.54362059 1
0.1%

YearBuilt_log_e
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5863361
Minimum7.5347627
Maximum7.6053924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:25.111898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.5347627
5-th percentile7.5590383
Q17.5776338
median7.5868035
Q37.6009025
95-th percentile7.6043963
Maximum7.6053924
Range0.070629708
Interquartile range (IQR)0.023268627

Descriptive statistics

Standard deviation0.015354098
Coefficient of variation (CV)0.0020239148
Kurtosis-0.46037809
Mean7.5863361
Median Absolute Deviation (MAD)0.013098424
Skewness-0.61429021
Sum8860.8406
Variance0.00023574833
MonotonicityNot monotonic
2024-05-04T16:14:25.402881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.603897969 54
 
4.6%
7.602900462 49
 
4.2%
7.60339934 45
 
3.9%
7.604396349 41
 
3.5%
7.602401336 36
 
3.1%
7.560080465 24
 
2.1%
7.588829878 24
 
2.1%
7.580189418 22
 
1.9%
7.589335823 22
 
1.9%
7.599901959 22
 
1.9%
Other values (97) 829
71.0%
ValueCountFrequency (%)
7.534762657 1
 
0.1%
7.536363938 1
 
0.1%
7.539027056 2
 
0.2%
7.54009032 1
 
0.1%
7.5416831 2
 
0.2%
7.545918151 1
 
0.1%
7.548555979 1
 
0.1%
7.549609165 8
0.7%
7.551712215 1
 
0.1%
7.552237288 1
 
0.1%
ValueCountFrequency (%)
7.605392365 13
 
1.1%
7.604894481 18
 
1.5%
7.604396349 41
3.5%
7.603897969 54
4.6%
7.60339934 45
3.9%
7.602900462 49
4.2%
7.602401336 36
3.1%
7.60190196 18
 
1.5%
7.601402335 16
 
1.4%
7.60090246 21
 
1.8%

YearBuilt_power
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.398135
Minimum43.266615
Maximum44.82187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:25.673648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum43.266615
5-th percentile43.794977
Q144.204072
median44.407207
Q344.72136
95-th percentile44.799554
Maximum44.82187
Range1.5552544
Interquartile range (IQR)0.51728734

Descriptive statistics

Standard deviation0.34004568
Coefficient of variation (CV)0.0076590083
Kurtosis-0.48977219
Mean44.398135
Median Absolute Deviation (MAD)0.29178665
Skewness-0.60098335
Sum51857.022
Variance0.11563107
MonotonicityNot monotonic
2024-05-04T16:14:25.968395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.78839135 54
 
4.6%
44.76605857 49
 
4.2%
44.77722635 45
 
3.9%
44.79955357 41
 
3.5%
44.754888 36
 
3.1%
43.8178046 24
 
2.1%
44.45222154 24
 
2.1%
44.26059195 22
 
1.9%
44.46346815 22
 
1.9%
44.69899328 22
 
1.9%
Other values (97) 829
71.0%
ValueCountFrequency (%)
43.26661531 1
 
0.1%
43.30127019 1
 
0.1%
43.35896678 2
 
0.2%
43.38202393 1
 
0.1%
43.41658669 2
 
0.2%
43.50861984 1
 
0.1%
43.56604182 1
 
0.1%
43.58898944 8
0.7%
43.63484846 1
 
0.1%
43.64630569 1
 
0.1%
ValueCountFrequency (%)
44.82186966 13
 
1.1%
44.810713 18
 
1.5%
44.79955357 41
3.5%
44.78839135 54
4.6%
44.77722635 45
3.9%
44.76605857 49
4.2%
44.754888 36
3.1%
44.74371464 18
 
1.5%
44.73253849 16
 
1.4%
44.72135955 21
 
1.8%

YearBuilt_box_cox
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9560228 × 1070
Minimum9.1231036 × 1069
Maximum4.2509164 × 1070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:26.261977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum9.1231036 × 1069
5-th percentile1.5482912 × 1070
Q12.3217473 × 1070
median2.8352026 × 1070
Q33.8547519 × 1070
95-th percentile4.1596584 × 1070
Maximum4.2509164 × 1070
Range3.338606 × 1070
Interquartile range (IQR)1.5330045 × 1070

Descriptive statistics

Standard deviation8.940014 × 1069
Coefficient of variation (CV)0.30243387
Kurtosis-1.2199092
Mean2.9560228 × 1070
Median Absolute Deviation (MAD)8.5014344 × 1069
Skewness-0.13552187
Sum3.4526346 × 1073
Variance7.9923851 × 10139
MonotonicityNot monotonic
2024-05-04T16:14:26.573729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1147334 × 107054
 
4.6%
4.026268272 × 107049
 
4.2%
4.07027153 × 107045
 
3.9%
4.159658429 × 107041
 
3.5%
3.98271912 × 107036
 
3.1%
1.583852155 × 107024
 
2.1%
2.963183488 × 107024
 
2.1%
2.454694292 × 107022
 
1.9%
2.996029558 × 107022
 
1.9%
3.771630202 × 107022
 
1.9%
Other values (97) 829
71.0%
ValueCountFrequency (%)
9.123103631 × 10691
 
0.1%
9.447020915 × 10691
 
0.1%
1.001140117 × 10702
 
0.2%
1.024604122 × 10701
 
0.1%
1.060786344 × 10702
 
0.2%
1.163328783 × 10701
 
0.1%
1.232148797 × 10701
 
0.1%
1.260750138 × 10708
0.7%
1.319864433 × 10701
 
0.1%
1.335051038 × 10701
 
0.1%
ValueCountFrequency (%)
4.250916369 × 107013
 
1.1%
4.205051208 × 107018
 
1.5%
4.159658429 × 107041
3.5%
4.1147334 × 107054
4.6%
4.07027153 × 107045
3.9%
4.026268272 × 107049
4.2%
3.98271912 × 107036
3.1%
3.939619612 × 107018
 
1.5%
3.896965326 × 107016
 
1.4%
3.854751881 × 107021
 
1.8%

SalePrice
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180024.08
Minimum34900
Maximum755000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:26.870543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum34900
5-th percentile87175
Q1129000
median163000
Q3213625
95-th percentile325755
Maximum755000
Range720100
Interquartile range (IQR)84625

Descriptive statistics

Standard deviation79202.824
Coefficient of variation (CV)0.43995684
Kurtosis7.1753388
Mean180024.08
Median Absolute Deviation (MAD)38300
Skewness1.9394889
Sum2.1026812 × 108
Variance6.2730873 × 109
MonotonicityNot monotonic
2024-05-04T16:14:27.169312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140000 18
 
1.5%
135000 14
 
1.2%
115000 11
 
0.9%
145000 11
 
0.9%
110000 10
 
0.9%
190000 10
 
0.9%
143000 9
 
0.8%
155000 9
 
0.8%
130000 9
 
0.8%
139000 9
 
0.8%
Other values (569) 1058
90.6%
ValueCountFrequency (%)
34900 1
 
0.1%
39300 1
 
0.1%
52000 1
 
0.1%
52500 1
 
0.1%
55000 2
0.2%
55993 1
 
0.1%
58500 1
 
0.1%
60000 3
0.3%
61000 1
 
0.1%
62383 1
 
0.1%
ValueCountFrequency (%)
755000 1
0.1%
745000 1
0.1%
625000 1
0.1%
582933 1
0.1%
556581 1
0.1%
555000 1
0.1%
538000 1
0.1%
485000 1
0.1%
466500 1
0.1%
446261 1
0.1%

SalePrice_log_e
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.019311
Minimum10.460242
Maximum13.534473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:27.466437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10.460242
5-th percentile11.375669
Q111.767568
median12.001505
Q312.271977
95-th percentile12.6939
Maximum13.534473
Range3.0742309
Interquartile range (IQR)0.50440922

Descriptive statistics

Standard deviation0.39798988
Coefficient of variation (CV)0.033112536
Kurtosis0.63405233
Mean12.019311
Median Absolute Deviation (MAD)0.24563384
Skewness0.1712533
Sum14038.556
Variance0.15839595
MonotonicityNot monotonic
2024-05-04T16:14:27.754835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.8493977 18
 
1.5%
11.81303006 14
 
1.2%
11.65268741 11
 
0.9%
11.88448902 11
 
0.9%
11.60823564 10
 
0.9%
12.15477935 10
 
0.9%
11.87059991 9
 
0.8%
11.9511804 9
 
0.8%
11.77528973 9
 
0.8%
11.84222921 9
 
0.8%
Other values (569) 1058
90.6%
ValueCountFrequency (%)
10.46024211 1
 
0.1%
10.5789798 1
 
0.1%
10.858999 1
 
0.1%
10.86856845 1
 
0.1%
10.91508846 2
0.2%
10.93298196 1
 
0.1%
10.97678203 1
 
0.1%
11.00209984 3
0.3%
11.01862914 1
 
0.1%
11.04104808 1
 
0.1%
ValueCountFrequency (%)
13.53447303 1
0.1%
13.5211395 1
0.1%
13.34550693 1
0.1%
13.27582754 1
0.1%
13.22956799 1
0.1%
13.22672339 1
0.1%
13.19561384 1
0.1%
13.09190417 1
0.1%
13.0530133 1
0.1%
13.00865926 1
0.1%

SalePrice_log_10
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2199207
Minimum4.5428254
Maximum5.877947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:28.095451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.5428254
5-th percentile4.9403903
Q15.1105897
median5.2121876
Q35.3296519
95-th percentile5.5128909
Maximum5.877947
Range1.3351215
Interquartile range (IQR)0.21906214

Descriptive statistics

Standard deviation0.17284481
Coefficient of variation (CV)0.033112536
Kurtosis0.63405233
Mean5.2199207
Median Absolute Deviation (MAD)0.10667742
Skewness0.1712533
Sum6096.8673
Variance0.029875328
MonotonicityNot monotonic
2024-05-04T16:14:28.408434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.146128036 18
 
1.5%
5.130333768 14
 
1.2%
5.06069784 11
 
0.9%
5.161368002 11
 
0.9%
5.041392685 10
 
0.9%
5.278753601 10
 
0.9%
5.155336037 9
 
0.8%
5.190331698 9
 
0.8%
5.113943352 9
 
0.8%
5.1430148 9
 
0.8%
Other values (569) 1058
90.6%
ValueCountFrequency (%)
4.542825427 1
 
0.1%
4.59439255 1
 
0.1%
4.716003344 1
 
0.1%
4.720159303 1
 
0.1%
4.740362689 2
0.2%
4.748133737 1
 
0.1%
4.767155866 1
 
0.1%
4.77815125 3
0.3%
4.785329835 1
 
0.1%
4.795066256 1
 
0.1%
ValueCountFrequency (%)
5.877946952 1
0.1%
5.872156273 1
0.1%
5.795880017 1
0.1%
5.765618642 1
0.1%
5.745528377 1
0.1%
5.744292983 1
0.1%
5.730782276 1
0.1%
5.685741739 1
0.1%
5.668851648 1
0.1%
5.649588934 1
0.1%

SalePrice_box_cox
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4843732
Minimum6.0621492
Maximum6.8318604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:28.690869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.0621492
5-th percentile6.320637
Q16.4231862
median6.4822183
Q36.5485046
95-th percentile6.6478483
Maximum6.8318604
Range0.76971115
Interquartile range (IQR)0.12531836

Descriptive statistics

Standard deviation0.098675289
Coefficient of variation (CV)0.015217398
Kurtosis0.66402323
Mean6.4843732
Median Absolute Deviation (MAD)0.061023539
Skewness-0.0096943996
Sum7573.7479
Variance0.0097368127
MonotonicityNot monotonic
2024-05-04T16:14:28.975459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.444017487 18
 
1.5%
6.434783833 14
 
1.2%
6.393606084 11
 
0.9%
6.452890277 11
 
0.9%
6.382054292 10
 
0.9%
6.520037048 10
 
0.9%
6.449382748 9
 
0.8%
6.469653987 9
 
0.8%
6.42516043 9
 
0.8%
6.442200503 9
 
0.8%
Other values (569) 1058
90.6%
ValueCountFrequency (%)
6.062149228 1
 
0.1%
6.097244568 1
 
0.1%
6.178122801 1
 
0.1%
6.180840653 1
 
0.1%
6.194010113 2
0.2%
6.199056753 1
 
0.1%
6.211365959 1
 
0.1%
6.218452627 3
0.3%
6.223068113 1
 
0.1%
6.229314058 1
 
0.1%
ValueCountFrequency (%)
6.831860383 1
0.1%
6.829079188 1
0.1%
6.792040708 1
0.1%
6.777136182 1
0.1%
6.767174528 1
0.1%
6.76656022 1
0.1%
6.759828696 1
0.1%
6.737211788 1
0.1%
6.728660192 1
0.1%
6.718860166 1
0.1%

SalePrice_yeo_johnson
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4841322
Minimum6.0619533
Maximum6.8315826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.5 KiB
2024-05-04T16:14:29.253036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.0619533
5-th percentile6.3204129
Q16.4229515
median6.4819776
Q36.5482569
95-th percentile6.6475903
Maximum6.8315826
Range0.76962929
Interquartile range (IQR)0.12530541

Descriptive statistics

Standard deviation0.098665031
Coefficient of variation (CV)0.015216382
Kurtosis0.66401367
Mean6.4841322
Median Absolute Deviation (MAD)0.061017243
Skewness-0.0096948619
Sum7573.4664
Variance0.0097347883
MonotonicityNot monotonic
2024-05-04T16:14:29.531592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.443780669 18
 
1.5%
6.434547968 14
 
1.2%
6.393374469 11
 
0.9%
6.452652544 11
 
0.9%
6.381823871 10
 
0.9%
6.519792379 10
 
0.9%
6.449145377 9
 
0.8%
6.469414524 9
 
0.8%
6.424925558 9
 
0.8%
6.441963873 9
 
0.8%
Other values (569) 1058
90.6%
ValueCountFrequency (%)
6.061953289 1
 
0.1%
6.097044605 1
 
0.1%
6.177913869 1
 
0.1%
6.180631426 1
 
0.1%
6.193799461 2
0.2%
6.198845556 1
 
0.1%
6.21115344 1
 
0.1%
6.218239348 3
0.3%
6.222854341 1
 
0.1%
6.229099619 1
 
0.1%
ValueCountFrequency (%)
6.831582575 1
0.1%
6.828801687 1
0.1%
6.791767264 1
0.1%
6.776864359 1
0.1%
6.766903785 1
0.1%
6.766289543 1
0.1%
6.759558748 1
0.1%
6.736944278 1
0.1%
6.728393599 1
0.1%
6.718594623 1
0.1%

Interactions

2024-05-04T16:14:09.254181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:02.128384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:07.028091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:11.957111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:16.911903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:23.161816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:28.603419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:34.090083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:39.559025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:44.898164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:49.889386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:55.695138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:00.996230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:06.845688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:11.959423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:17.823857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:23.121790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:28.437154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:34.108559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:40.274505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:47.328324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:52.651893image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:57.830224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:03.864755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:09.550166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:02.282728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:07.203599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:12.131731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:17.089323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:23.519410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:28.798815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:34.290707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:39.748359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:45.095591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:50.113738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:55.884446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:01.233113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:07.029273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:12.163496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:18.023443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:23.319697image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:28.655095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:34.321939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:40.470037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:47.523962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:52.852626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:58.020665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:04.129006image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:09.741710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:02.454883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:07.377681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:12.320751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:17.254478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:23.751987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:29.260202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:34.491615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:39.927909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:45.279056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:50.374166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:56.221932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:01.532105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:07.223856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:12.390543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:18.214034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:23.509978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:28.855277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:34.537577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:40.691197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:47.722798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:53.038822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:58.220198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-05-04T16:13:21.884918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:27.207183image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:32.992308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:39.108868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:46.124210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:51.542519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:56.749335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:02.006406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:08.089953image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:13.680754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:06.252792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:11.155373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:16.051851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:21.848692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:27.755103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:33.222428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:38.649481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:44.071794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:49.062052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:54.460351image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:00.119654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:05.611169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:10.969471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:16.815542image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:22.118931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:27.457566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:33.220444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:39.346574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:46.404527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:51.758886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:56.962382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:02.230066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:08.324765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:13.892943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:06.441824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:11.353033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:16.269975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:22.105059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:27.970012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:33.435827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:38.860469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:44.272827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:49.270650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:54.681913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:00.322919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:05.835670image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:11.178373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:17.153829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:22.440210image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:27.773760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:33.441023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:39.563778image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:46.667673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:51.978693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:57.168338image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:02.431404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:08.531622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:14.097596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:06.642540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:11.547222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:16.473916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:22.362763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:28.177635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:33.652695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:39.075230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:44.471325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:49.464459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:55.240420image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:00.523685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:06.086714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:11.382856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:17.366358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:22.675381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:27.996330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:33.646431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:39.806852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:46.874704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:52.187931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:57.380341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:02.639948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:08.764585image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:14.381639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:06.835194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:11.764068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:16.706031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:22.742256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:28.394907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:33.871651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:39.310385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:44.686768image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:49.682156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:12:55.464095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:00.776022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:06.543795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:11.698732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:17.585499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:22.888775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:28.210954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:33.888576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:40.036879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:47.089838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:52.422775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:13:57.603406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:02.868587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-05-04T16:14:08.974275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-05-04T16:14:29.772508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
OverallQual1.0000.9750.9950.6010.6200.6200.6200.4860.4660.4790.4650.4650.4970.5290.5500.5090.5690.5700.6240.7880.8150.8150.8120.812
OverallQual_log_e0.9751.0000.9920.5710.6080.6070.6070.4490.4430.4480.4420.4420.4870.5040.5200.5040.5500.5510.5980.7260.7870.7870.7890.789
OverallQual_power0.9950.9921.0000.5910.6180.6180.6180.4710.4570.4660.4560.4560.4940.5200.5390.5100.5650.5660.6170.7640.8070.8070.8060.806
GrLivArea0.6010.5710.5911.0000.9720.9750.9750.5760.5600.5710.5590.5590.3600.4080.4640.4060.2260.2270.2640.7580.7470.7470.7410.741
GrLivArea_log_e0.6200.6080.6180.9721.0001.0001.0000.5750.5770.5790.5760.5760.3770.4190.4750.4330.2570.2580.2970.7210.7580.7580.7570.757
GrLivArea_box_cox0.6200.6070.6180.9751.0001.0001.0000.5760.5760.5790.5760.5760.3760.4190.4750.4320.2560.2570.2950.7240.7590.7590.7570.757
GrLivArea_yeo_johnson0.6200.6070.6180.9751.0001.0001.0000.5760.5760.5790.5760.5760.3760.4190.4750.4320.2560.2570.2950.7240.7590.7590.7570.757
1stFlrSF0.4860.4490.4710.5760.5750.5760.5761.0000.9780.9950.9760.9760.6550.7690.4880.4210.3050.3050.3080.6570.6470.6470.6410.641
1stFlrSF_log_e0.4660.4430.4570.5600.5770.5760.5760.9781.0000.9951.0001.0000.6530.7560.4890.4310.3040.3040.3060.6250.6430.6430.6410.641
1stFlrSF_power0.4790.4480.4660.5710.5790.5790.5790.9950.9951.0000.9930.9930.6570.7670.4920.4280.3070.3070.3090.6440.6480.6480.6440.644
1stFlrSF_box_cox0.4650.4420.4560.5590.5760.5760.5760.9761.0000.9931.0001.0000.6520.7550.4880.4310.3030.3040.3050.6230.6430.6430.6400.640
1stFlrSF_yeo_johnson0.4650.4420.4560.5590.5760.5760.5760.9761.0000.9931.0001.0000.6520.7550.4880.4310.3030.3040.3050.6230.6430.6430.6400.640
TotalBsmtSF_power0.4970.4870.4940.3600.3770.3760.3760.6550.6530.6570.6520.6521.0000.9740.4040.3610.3580.3590.3700.5650.5910.5910.5900.590
TotalBsmtSF_yeo_johnson0.5290.5040.5200.4080.4190.4190.4190.7690.7560.7670.7550.7550.9741.0000.4520.3950.3950.3950.4050.6300.6370.6370.6340.634
GarageArea0.5500.5200.5390.4640.4750.4750.4750.4880.4890.4920.4880.4880.4040.4521.0000.9400.4750.4760.4960.6150.6470.6470.6450.645
GarageArea_power0.5090.5040.5100.4060.4330.4320.4320.4210.4310.4280.4310.4310.3610.3950.9401.0000.4530.4530.4610.5400.6050.6050.6090.609
YearBuilt_log_e0.5690.5500.5650.2260.2570.2560.2560.3050.3040.3070.3030.3030.3580.3950.4750.4531.0001.0000.9870.5220.5850.5850.5880.588
YearBuilt_power0.5700.5510.5660.2270.2580.2570.2570.3050.3040.3070.3040.3040.3590.3950.4760.4531.0001.0000.9870.5230.5860.5860.5890.589
YearBuilt_box_cox0.6240.5980.6170.2640.2970.2950.2950.3080.3060.3090.3050.3050.3700.4050.4960.4610.9870.9871.0000.5570.6160.6160.6180.618
SalePrice0.7880.7260.7640.7580.7210.7240.7240.6570.6250.6440.6230.6230.5650.6300.6150.5400.5220.5230.5571.0000.9490.9490.9370.937
SalePrice_log_e0.8150.7870.8070.7470.7580.7590.7590.6470.6430.6480.6430.6430.5910.6370.6470.6050.5850.5860.6160.9491.0001.0000.9990.999
SalePrice_log_100.8150.7870.8070.7470.7580.7590.7590.6470.6430.6480.6430.6430.5910.6370.6470.6050.5850.5860.6160.9491.0001.0000.9990.999
SalePrice_box_cox0.8120.7890.8060.7410.7570.7570.7570.6410.6410.6440.6400.6400.5900.6340.6450.6090.5880.5890.6180.9370.9990.9991.0001.000
SalePrice_yeo_johnson0.8120.7890.8060.7410.7570.7570.7570.6410.6410.6440.6400.6400.5900.6340.6450.6090.5880.5890.6180.9370.9990.9991.0001.000
2024-05-04T16:14:30.344954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
OverallQual1.0001.0001.0000.6130.6130.6130.6130.4220.4220.4220.4220.4220.4490.4490.5380.5380.6420.6420.6420.8060.8060.8060.8060.806
OverallQual_log_e1.0001.0001.0000.6130.6130.6130.6130.4220.4220.4220.4220.4220.4490.4490.5380.5380.6420.6420.6420.8060.8060.8060.8060.806
OverallQual_power1.0001.0001.0000.6130.6130.6130.6130.4220.4220.4220.4220.4220.4490.4490.5380.5380.6420.6420.6420.8060.8060.8060.8060.806
GrLivArea0.6130.6130.6131.0001.0001.0001.0000.5350.5350.5350.5350.5350.3800.3800.4790.4790.3020.3020.3020.7530.7530.7530.7530.753
GrLivArea_log_e0.6130.6130.6131.0001.0001.0001.0000.5350.5350.5350.5350.5350.3800.3800.4790.4790.3020.3020.3020.7530.7530.7530.7530.753
GrLivArea_box_cox0.6130.6130.6131.0001.0001.0001.0000.5350.5350.5350.5350.5350.3800.3800.4790.4790.3020.3020.3020.7530.7530.7530.7530.753
GrLivArea_yeo_johnson0.6130.6130.6131.0001.0001.0001.0000.5350.5350.5350.5350.5350.3800.3800.4790.4790.3020.3020.3020.7530.7530.7530.7530.753
1stFlrSF0.4220.4220.4220.5350.5350.5350.5351.0001.0001.0001.0001.0000.8300.8300.4990.4990.3140.3140.3140.6110.6110.6110.6110.611
1stFlrSF_log_e0.4220.4220.4220.5350.5350.5350.5351.0001.0001.0001.0001.0000.8300.8300.4990.4990.3140.3140.3140.6110.6110.6110.6110.611
1stFlrSF_power0.4220.4220.4220.5350.5350.5350.5351.0001.0001.0001.0001.0000.8300.8300.4990.4990.3140.3140.3140.6110.6110.6110.6110.611
1stFlrSF_box_cox0.4220.4220.4220.5350.5350.5350.5351.0001.0001.0001.0001.0000.8300.8300.4990.4990.3140.3140.3140.6110.6110.6110.6110.611
1stFlrSF_yeo_johnson0.4220.4220.4220.5350.5350.5350.5351.0001.0001.0001.0001.0000.8300.8300.4990.4990.3140.3140.3140.6110.6110.6110.6110.611
TotalBsmtSF_power0.4490.4490.4490.3800.3800.3800.3800.8300.8300.8300.8300.8301.0001.0000.4680.4680.4180.4180.4180.5960.5960.5960.5960.596
TotalBsmtSF_yeo_johnson0.4490.4490.4490.3800.3800.3800.3800.8300.8300.8300.8300.8301.0001.0000.4680.4680.4180.4180.4180.5960.5960.5960.5960.596
GarageArea0.5380.5380.5380.4790.4790.4790.4790.4990.4990.4990.4990.4990.4680.4681.0001.0000.5240.5240.5240.6470.6470.6470.6470.647
GarageArea_power0.5380.5380.5380.4790.4790.4790.4790.4990.4990.4990.4990.4990.4680.4681.0001.0000.5240.5240.5240.6470.6470.6470.6470.647
YearBuilt_log_e0.6420.6420.6420.3020.3020.3020.3020.3140.3140.3140.3140.3140.4180.4180.5240.5241.0001.0001.0000.6450.6450.6450.6450.645
YearBuilt_power0.6420.6420.6420.3020.3020.3020.3020.3140.3140.3140.3140.3140.4180.4180.5240.5241.0001.0001.0000.6450.6450.6450.6450.645
YearBuilt_box_cox0.6420.6420.6420.3020.3020.3020.3020.3140.3140.3140.3140.3140.4180.4180.5240.5241.0001.0001.0000.6450.6450.6450.6450.645
SalePrice0.8060.8060.8060.7530.7530.7530.7530.6110.6110.6110.6110.6110.5960.5960.6470.6470.6450.6450.6451.0001.0001.0001.0001.000
SalePrice_log_e0.8060.8060.8060.7530.7530.7530.7530.6110.6110.6110.6110.6110.5960.5960.6470.6470.6450.6450.6451.0001.0001.0001.0001.000
SalePrice_log_100.8060.8060.8060.7530.7530.7530.7530.6110.6110.6110.6110.6110.5960.5960.6470.6470.6450.6450.6451.0001.0001.0001.0001.000
SalePrice_box_cox0.8060.8060.8060.7530.7530.7530.7530.6110.6110.6110.6110.6110.5960.5960.6470.6470.6450.6450.6451.0001.0001.0001.0001.000
SalePrice_yeo_johnson0.8060.8060.8060.7530.7530.7530.7530.6110.6110.6110.6110.6110.5960.5960.6470.6470.6450.6450.6451.0001.0001.0001.0001.000
2024-05-04T16:14:30.824553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
OverallQual1.0001.0001.0000.4720.4720.4720.4720.3190.3190.3190.3190.3190.3410.3410.4250.4250.5000.5000.5000.6660.6660.6660.6660.666
OverallQual_log_e1.0001.0001.0000.4720.4720.4720.4720.3190.3190.3190.3190.3190.3410.3410.4250.4250.5000.5000.5000.6660.6660.6660.6660.666
OverallQual_power1.0001.0001.0000.4720.4720.4720.4720.3190.3190.3190.3190.3190.3410.3410.4250.4250.5000.5000.5000.6660.6660.6660.6660.666
GrLivArea0.4720.4720.4721.0001.0001.0001.0000.4380.4380.4380.4380.4380.3020.3020.3360.3360.1980.1980.1980.5630.5630.5630.5630.563
GrLivArea_log_e0.4720.4720.4721.0001.0001.0001.0000.4380.4380.4380.4380.4380.3020.3020.3360.3360.1980.1980.1980.5630.5630.5630.5630.563
GrLivArea_box_cox0.4720.4720.4721.0001.0001.0001.0000.4380.4380.4380.4380.4380.3020.3020.3360.3360.1980.1980.1980.5630.5630.5630.5630.563
GrLivArea_yeo_johnson0.4720.4720.4721.0001.0001.0001.0000.4380.4380.4380.4380.4380.3020.3020.3360.3360.1980.1980.1980.5630.5630.5630.5630.563
1stFlrSF0.3190.3190.3190.4380.4380.4380.4381.0001.0001.0001.0001.0000.7230.7230.3460.3460.2160.2160.2160.4380.4380.4380.4380.438
1stFlrSF_log_e0.3190.3190.3190.4380.4380.4380.4381.0001.0001.0001.0001.0000.7230.7230.3460.3460.2160.2160.2160.4380.4380.4380.4380.438
1stFlrSF_power0.3190.3190.3190.4380.4380.4380.4381.0001.0001.0001.0001.0000.7230.7230.3460.3460.2160.2160.2160.4380.4380.4380.4380.438
1stFlrSF_box_cox0.3190.3190.3190.4380.4380.4380.4381.0001.0001.0001.0001.0000.7230.7230.3460.3460.2160.2160.2160.4380.4380.4380.4380.438
1stFlrSF_yeo_johnson0.3190.3190.3190.4380.4380.4380.4381.0001.0001.0001.0001.0000.7230.7230.3460.3460.2160.2160.2160.4380.4380.4380.4380.438
TotalBsmtSF_power0.3410.3410.3410.3020.3020.3020.3020.7230.7230.7230.7230.7231.0001.0000.3250.3250.2890.2890.2890.4310.4310.4310.4310.431
TotalBsmtSF_yeo_johnson0.3410.3410.3410.3020.3020.3020.3020.7230.7230.7230.7230.7231.0001.0000.3250.3250.2890.2890.2890.4310.4310.4310.4310.431
GarageArea0.4250.4250.4250.3360.3360.3360.3360.3460.3460.3460.3460.3460.3250.3251.0001.0000.3770.3770.3770.4790.4790.4790.4790.479
GarageArea_power0.4250.4250.4250.3360.3360.3360.3360.3460.3460.3460.3460.3460.3250.3251.0001.0000.3770.3770.3770.4790.4790.4790.4790.479
YearBuilt_log_e0.5000.5000.5000.1980.1980.1980.1980.2160.2160.2160.2160.2160.2890.2890.3770.3771.0001.0001.0000.4630.4630.4630.4630.463
YearBuilt_power0.5000.5000.5000.1980.1980.1980.1980.2160.2160.2160.2160.2160.2890.2890.3770.3771.0001.0001.0000.4630.4630.4630.4630.463
YearBuilt_box_cox0.5000.5000.5000.1980.1980.1980.1980.2160.2160.2160.2160.2160.2890.2890.3770.3771.0001.0001.0000.4630.4630.4630.4630.463
SalePrice0.6660.6660.6660.5630.5630.5630.5630.4380.4380.4380.4380.4380.4310.4310.4790.4790.4630.4630.4631.0001.0001.0001.0001.000
SalePrice_log_e0.6660.6660.6660.5630.5630.5630.5630.4380.4380.4380.4380.4380.4310.4310.4790.4790.4630.4630.4631.0001.0001.0001.0001.000
SalePrice_log_100.6660.6660.6660.5630.5630.5630.5630.4380.4380.4380.4380.4380.4310.4310.4790.4790.4630.4630.4631.0001.0001.0001.0001.000
SalePrice_box_cox0.6660.6660.6660.5630.5630.5630.5630.4380.4380.4380.4380.4380.4310.4310.4790.4790.4630.4630.4631.0001.0001.0001.0001.000
SalePrice_yeo_johnson0.6660.6660.6660.5630.5630.5630.5630.4380.4380.4380.4380.4380.4310.4310.4790.4790.4630.4630.4631.0001.0001.0001.0001.000
2024-05-04T16:14:31.298805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
OverallQual1.0001.0001.0000.5540.8280.7930.7930.6880.7590.7270.7610.7610.6960.7200.6780.5440.6610.6630.6670.8240.8660.8660.8610.861
OverallQual_log_e1.0001.0001.0000.4770.6850.6320.6320.4030.6120.5410.6160.6160.5050.5010.5240.5090.5340.5320.5450.6340.7300.7300.7260.726
OverallQual_power1.0001.0001.0000.6440.6770.6300.6300.4560.6090.5610.6120.6120.5230.5320.5350.5300.5200.5210.5310.6700.7460.7460.7360.736
GrLivArea0.5540.4770.6441.0000.9290.9180.9180.6720.6470.6510.6710.6710.5930.5770.4270.4120.3360.3380.3560.7950.7200.7200.6960.696
GrLivArea_log_e0.8280.6850.6770.9291.0000.9930.9930.8190.9020.8350.9000.9000.6930.7190.5380.4060.4500.4580.4750.8670.8880.8880.8730.873
GrLivArea_box_cox0.7930.6320.6300.9180.9931.0001.0000.7830.8760.8540.8690.8690.6470.7390.5340.4040.4600.4670.4780.8670.8640.8640.8450.845
GrLivArea_yeo_johnson0.7930.6320.6300.9180.9931.0001.0000.7830.8760.8540.8690.8690.6470.7390.5340.4040.4600.4670.4780.8670.8640.8640.8450.845
1stFlrSF0.6880.4030.4560.6720.8190.7830.7831.0000.9640.9830.9610.9610.8940.9070.5300.4090.3890.3860.4390.7570.7200.7200.7260.726
1stFlrSF_log_e0.7590.6120.6090.6470.9020.8760.8760.9641.0000.9760.9980.9980.9140.9150.5310.4090.4060.4150.4540.6860.7940.7940.7890.789
1stFlrSF_power0.7270.5410.5610.6510.8350.8540.8540.9830.9761.0000.9680.9680.8860.9360.5230.4030.4010.4100.4360.7090.7390.7390.7200.720
1stFlrSF_box_cox0.7610.6160.6120.6710.9000.8690.8690.9610.9980.9681.0001.0000.9200.9080.5270.4200.4050.4110.4500.6750.7870.7870.7880.788
1stFlrSF_yeo_johnson0.7610.6160.6120.6710.9000.8690.8690.9610.9980.9681.0001.0000.9200.9080.5270.4200.4050.4110.4500.6750.7870.7870.7880.788
TotalBsmtSF_power0.6960.5050.5230.5930.6930.6470.6470.8940.9140.8860.9200.9201.0000.9780.5320.4100.5130.5140.5130.7170.7200.7200.6880.688
TotalBsmtSF_yeo_johnson0.7200.5010.5320.5770.7190.7390.7390.9070.9150.9360.9080.9080.9781.0000.5510.4090.5030.4990.5240.7680.7360.7360.7060.706
GarageArea0.6780.5240.5350.4270.5380.5340.5340.5300.5310.5230.5270.5270.5320.5511.0000.9330.5480.5500.5670.6860.7000.7000.7020.702
GarageArea_power0.5440.5090.5300.4120.4060.4040.4040.4090.4090.4030.4200.4200.4100.4090.9331.0000.4620.4670.4830.5510.5800.5800.5910.591
YearBuilt_log_e0.6610.5340.5200.3360.4500.4600.4600.3890.4060.4010.4050.4050.5130.5030.5480.4621.0001.0000.9830.5930.6200.6200.6130.613
YearBuilt_power0.6630.5320.5210.3380.4580.4670.4670.3860.4150.4100.4110.4110.5140.4990.5500.4671.0001.0000.9810.5950.6200.6200.6130.613
YearBuilt_box_cox0.6670.5450.5310.3560.4750.4780.4780.4390.4540.4360.4500.4500.5130.5240.5670.4830.9830.9811.0000.6100.6350.6350.6300.630
SalePrice0.8240.6340.6700.7950.8670.8670.8670.7570.6860.7090.6750.6750.7170.7680.6860.5510.5930.5950.6101.0000.9530.9530.9580.958
SalePrice_log_e0.8660.7300.7460.7200.8880.8640.8640.7200.7940.7390.7870.7870.7200.7360.7000.5800.6200.6200.6350.9531.0001.0000.9760.976
SalePrice_log_100.8660.7300.7460.7200.8880.8640.8640.7200.7940.7390.7870.7870.7200.7360.7000.5800.6200.6200.6350.9531.0001.0000.9760.976
SalePrice_box_cox0.8610.7260.7360.6960.8730.8450.8450.7260.7890.7200.7880.7880.6880.7060.7020.5910.6130.6130.6300.9580.9760.9761.0001.000
SalePrice_yeo_johnson0.8610.7260.7360.6960.8730.8450.8450.7260.7890.7200.7880.7880.6880.7060.7020.5910.6130.6130.6300.9580.9760.9761.0001.000
2024-05-04T16:14:31.768894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
1stFlrSF1stFlrSF_box_cox1stFlrSF_log_e1stFlrSF_power1stFlrSF_yeo_johnsonGarageAreaGarageArea_powerGrLivAreaGrLivArea_box_coxGrLivArea_log_eGrLivArea_yeo_johnsonOverallQualOverallQual_log_eOverallQual_powerSalePriceSalePrice_box_coxSalePrice_log_10SalePrice_log_eSalePrice_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonYearBuilt_box_coxYearBuilt_log_eYearBuilt_power
1stFlrSF1.0001.0001.0001.0001.0000.4990.4990.5350.5350.5350.5350.4220.4220.4220.6110.6110.6110.6110.6110.8300.8300.3140.3140.314
1stFlrSF_box_cox1.0001.0001.0001.0001.0000.4990.4990.5350.5350.5350.5350.4220.4220.4220.6110.6110.6110.6110.6110.8300.8300.3140.3140.314
1stFlrSF_log_e1.0001.0001.0001.0001.0000.4990.4990.5350.5350.5350.5350.4220.4220.4220.6110.6110.6110.6110.6110.8300.8300.3140.3140.314
1stFlrSF_power1.0001.0001.0001.0001.0000.4990.4990.5350.5350.5350.5350.4220.4220.4220.6110.6110.6110.6110.6110.8300.8300.3140.3140.314
1stFlrSF_yeo_johnson1.0001.0001.0001.0001.0000.4990.4990.5350.5350.5350.5350.4220.4220.4220.6110.6110.6110.6110.6110.8300.8300.3140.3140.314
GarageArea0.4990.4990.4990.4990.4991.0001.0000.4790.4790.4790.4790.5380.5380.5380.6470.6470.6470.6470.6470.4680.4680.5240.5240.524
GarageArea_power0.4990.4990.4990.4990.4991.0001.0000.4790.4790.4790.4790.5380.5380.5380.6470.6470.6470.6470.6470.4680.4680.5240.5240.524
GrLivArea0.5350.5350.5350.5350.5350.4790.4791.0001.0001.0001.0000.6130.6130.6130.7530.7530.7530.7530.7530.3800.3800.3020.3020.302
GrLivArea_box_cox0.5350.5350.5350.5350.5350.4790.4791.0001.0001.0001.0000.6130.6130.6130.7530.7530.7530.7530.7530.3800.3800.3020.3020.302
GrLivArea_log_e0.5350.5350.5350.5350.5350.4790.4791.0001.0001.0001.0000.6130.6130.6130.7530.7530.7530.7530.7530.3800.3800.3020.3020.302
GrLivArea_yeo_johnson0.5350.5350.5350.5350.5350.4790.4791.0001.0001.0001.0000.6130.6130.6130.7530.7530.7530.7530.7530.3800.3800.3020.3020.302
OverallQual0.4220.4220.4220.4220.4220.5380.5380.6130.6130.6130.6131.0001.0001.0000.8060.8060.8060.8060.8060.4490.4490.6420.6420.642
OverallQual_log_e0.4220.4220.4220.4220.4220.5380.5380.6130.6130.6130.6131.0001.0001.0000.8060.8060.8060.8060.8060.4490.4490.6420.6420.642
OverallQual_power0.4220.4220.4220.4220.4220.5380.5380.6130.6130.6130.6131.0001.0001.0000.8060.8060.8060.8060.8060.4490.4490.6420.6420.642
SalePrice0.6110.6110.6110.6110.6110.6470.6470.7530.7530.7530.7530.8060.8060.8061.0001.0001.0001.0001.0000.5960.5960.6450.6450.645
SalePrice_box_cox0.6110.6110.6110.6110.6110.6470.6470.7530.7530.7530.7530.8060.8060.8061.0001.0001.0001.0001.0000.5960.5960.6450.6450.645
SalePrice_log_100.6110.6110.6110.6110.6110.6470.6470.7530.7530.7530.7530.8060.8060.8061.0001.0001.0001.0001.0000.5960.5960.6450.6450.645
SalePrice_log_e0.6110.6110.6110.6110.6110.6470.6470.7530.7530.7530.7530.8060.8060.8061.0001.0001.0001.0001.0000.5960.5960.6450.6450.645
SalePrice_yeo_johnson0.6110.6110.6110.6110.6110.6470.6470.7530.7530.7530.7530.8060.8060.8061.0001.0001.0001.0001.0000.5960.5960.6450.6450.645
TotalBsmtSF_power0.8300.8300.8300.8300.8300.4680.4680.3800.3800.3800.3800.4490.4490.4490.5960.5960.5960.5960.5961.0001.0000.4180.4180.418
TotalBsmtSF_yeo_johnson0.8300.8300.8300.8300.8300.4680.4680.3800.3800.3800.3800.4490.4490.4490.5960.5960.5960.5960.5961.0001.0000.4180.4180.418
YearBuilt_box_cox0.3140.3140.3140.3140.3140.5240.5240.3020.3020.3020.3020.6420.6420.6420.6450.6450.6450.6450.6450.4180.4181.0001.0001.000
YearBuilt_log_e0.3140.3140.3140.3140.3140.5240.5240.3020.3020.3020.3020.6420.6420.6420.6450.6450.6450.6450.6450.4180.4181.0001.0001.000
YearBuilt_power0.3140.3140.3140.3140.3140.5240.5240.3020.3020.3020.3020.6420.6420.6420.6450.6450.6450.6450.6450.4180.4181.0001.0001.000

Missing values

2024-05-04T16:14:14.842059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T16:14:15.578097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
80951.6094382.23606821387.6676269.4823569.45424810756.98007632.7871935.9681815.94896729.137605262.16109336018.9736667.54855643.5660421.232149e+7010600011.5711945.0253066.3723836.372153
60882.0794422.82842731948.06902910.09424210.06234419407.57044344.0454316.3903076.36769231.064449290.23852438019.4935897.56734643.9772671.855506e+7035910012.7913565.5552156.6701126.669852
118971.9459102.64575118047.4977629.2273579.20080410286.93537032.0624395.9357455.91679131.527766297.14533644221.0237967.60040244.7101783.812975e+7018900012.1495025.2764626.5187466.518502
103941.3862942.0000006306.4457207.6987007.6814606306.44572025.0998015.5760695.56000825.099801206.81107828616.9115357.58578944.3846822.773207e+708000011.2897824.9030906.2975346.297312
129761.7917592.44949010726.9772818.4603098.43839710726.97728132.7414115.9661565.94695823.388031184.82886852522.9128787.60339944.7772264.070272e+7014000011.8493985.1461286.4440176.443781
135751.6094382.23606810786.9828638.4684228.44646110786.98286332.8329105.9702015.95097132.832910316.92034050022.3606807.58629644.3959462.804041e+7014990011.9177245.1758026.4612606.461022
58182.0794422.82842720427.6216859.4131609.38547520427.62168545.1884946.4264076.40349745.188494526.177338139037.2827047.60489444.8107134.205051e+7025329312.4423025.4036236.5891946.588942
54182.0794422.82842722857.7341219.5828129.55408812887.16084635.8887176.0986596.07840031.128765291.19372964825.4558447.60090244.7213603.854752e+7024800012.4211845.3944526.5841926.583941
18371.9459102.64575120827.6410849.4423589.41449513627.21670936.9052846.1387616.11818036.905284381.57457348422.0000007.60240144.7548883.982719e+7020000012.2060735.3010306.5325446.532298
83171.9459102.64575112007.0900778.6247298.6018236006.39693024.4948975.5397835.52401824.494897198.93958848021.9089027.60339944.7772264.070272e+7015100011.9250355.1789776.4630976.462859
OverallQualOverallQual_log_eOverallQual_powerGrLivAreaGrLivArea_log_eGrLivArea_box_coxGrLivArea_yeo_johnson1stFlrSF1stFlrSF_log_e1stFlrSF_power1stFlrSF_box_cox1stFlrSF_yeo_johnsonTotalBsmtSF_powerTotalBsmtSF_yeo_johnsonGarageAreaGarageArea_powerYearBuilt_log_eYearBuilt_powerYearBuilt_box_coxSalePriceSalePrice_log_eSalePrice_log_10SalePrice_box_coxSalePrice_yeo_johnson
63851.6094382.2360687966.6795998.0311268.0118267966.67959928.2134725.7488805.73142228.213472249.07059000.0000007.55485943.7035471.413519e+708500011.3504074.9294196.3138656.313642
126882.0794422.82842734478.14526010.21193910.17930019687.58477344.3621466.4004116.37771426.981475232.005460101431.8433677.56786343.9886351.876523e+7038100012.8505555.5809256.6835146.683253
92261.7917592.44949013167.1823528.7599778.73625413167.18235236.2767146.1141096.09372736.276714371.30904839719.9248597.60339944.7772264.070272e+7016999012.0434955.2304236.4926466.492404
74871.9459102.64575117207.4500809.1561939.13007217207.45008041.4728836.3051756.28325241.472883459.20740552722.9564817.59890044.6766163.690220e+7026040012.4699745.4156416.5957296.595476
15361.7917592.44949012527.1324988.6868228.66354112527.13249835.3836126.0782696.05817440.024992434.02824556423.7486847.58070044.2718872.482141e+7023500012.3673415.3710686.5713856.571135
86682.0794422.82842716467.4061039.0907219.06499716467.40610340.5709266.2739526.25228340.472213441.74972787029.4957627.60389844.7883914.114733e+7024890012.4248065.3960256.5850516.584800
74271.9459102.64575113497.2071198.7963928.77244913497.20711936.7287356.1318836.11135836.728735378.68086553923.2163747.60090244.7213603.854752e+7017900012.0951415.2528536.5054026.505159
7431.0986121.73205116057.3808799.0532369.0277408406.73340228.9827535.7883715.77059728.982753259.95044537919.4679227.55747343.7607131.496375e+7010740011.5843155.0310046.3758136.375584
17661.7917592.44949020607.6304619.4263669.39860011647.05961834.1174446.0257276.00605333.926391333.84611352122.8254247.59488444.5869943.381037e+7021100012.2596135.3242826.5455206.545272
33871.9459102.64575116217.3907999.0679719.04238516217.39079940.2616446.2630716.24149034.756294346.90686344020.9761777.59287044.5421153.235872e+7020250012.2184955.3064256.5355626.535315